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RYS XLarge Base by dnhkng

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  2770   
  Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/dnhkng/RYS-XLarge-base 

RYS XLarge Base Benchmarks

MMLU Pro: 49.23
GPQA: 17.23
MUSR: 22.42
BBH: 58.69
IFEval: 79.1 vs 88 (so35)-10.1%
MATH Lvl 5: 37.16
LLME Score: 0.37948
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
RYS XLarge Base (dnhkng/RYS-XLarge-base)

RYS XLarge Base Parameters and Internals

Model Type 
optimization
Additional Notes 
This model is noted for model optimization techniques and being applied in trustworthy AI research by the appliedAI Institute.
Input Output 
Input Format:
Chat messages defined by roles.
Accepted Modalities:
text
Output Format:
Generated text content.
Performance Tips:
Ensure the GPU has sufficient memory when loading the model.
LLM NameRYS XLarge Base
Repository 🤗https://huggingface.co/dnhkng/RYS-XLarge-base 
Model Size78b
Required VRAM155.5 GB
Updated2025-01-24
Maintainerdnhkng
Model Typeqwen2
Model Files  7.0 GB: 1-of-22   7.0 GB: 2-of-22   7.0 GB: 3-of-22   7.0 GB: 4-of-22   7.0 GB: 5-of-22   7.0 GB: 6-of-22   7.0 GB: 7-of-22   7.0 GB: 8-of-22   7.0 GB: 9-of-22   7.0 GB: 10-of-22   7.0 GB: 11-of-22   7.0 GB: 12-of-22   7.0 GB: 13-of-22   7.0 GB: 14-of-22   7.0 GB: 15-of-22   7.0 GB: 16-of-22   7.0 GB: 17-of-22   7.0 GB: 18-of-22   7.0 GB: 19-of-22   7.0 GB: 20-of-22   7.0 GB: 21-of-22   8.5 GB: 22-of-22
Model ArchitectureQwen2ForCausalLM
Licensemit
Context Length32768
Model Max Length32768
Transformers Version4.40.1
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than dnhkng/RYS-XLarge-base.

Rank the RYS XLarge Base Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
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Release v20241227
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